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Adji Bousso Dieng is an Assistant Professor in the Department of Chemical and Biological Engineering at Princeton University. She received her Ph.D. in Statistics from Columbia University in 2020 and holds a Master’s degree in Applied Statistics from Cornell University, obtained in 2013, along with an engineering degree from Telecom ParisTech in France. Her research interests lie at the intersection of artificial intelligence and natural sciences, focusing on developing statistical machine learning and deep learning methods to tackle complex problems in various domains. Adji has received several prestigious awards, including the Outstanding Recent Alumni Award from Columbia University in 2023 and the AI2050 Early Career Fellowship in 2022. As part of her role, she contributes to advancing methodological research in artificial intelligence, leveraging innovative tools to enhance understanding and processing of complex materials. Her affiliations include being an associated faculty member in multiple departments and institutes within Princeton University, demonstrating her interdisciplinary collaboration in scientific research.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.